

from statistics import mean

import numpy as np


def 					_UpperCAmelCase				(						a__  ,	a__  ,	a__  ,	a__):

			'''simple docstring'''



			a_						:						Dict 							= 0
			# Number of processes finished
			a_						:						Tuple 							= 0
			# Displays the finished process.
			# If it is 0, the performance is completed if it is 1, before the performance.
			a_						:						Any 							= [0] * no_of_process
			# List to include calculation results
			a_						:						Union[str, Any] 							= [0] * no_of_process

			# Sort by arrival time.
			a_						:						Union[str, Any] 							= [burst_time[i] for i in np.argsort(a__)]
			a_						:						Union[str, Any] 							= [process_name[i] for i in np.argsort(a__)]
			arrival_time.sort()

			while no_of_process > finished_process_count:
						a_						:						Optional[Any] 							= 0
						while finished_process[i] == 1:
									i += 1
						if current_time < arrival_time[i]:
									a_						:						Optional[Any] 							= arrival_time[i]

						a_						:						Optional[Any] 							= 0
						# Index showing the location of the process being performed
						a_						:						Optional[int] 							= 0
						# Saves the current response ratio.
						a_						:						Tuple 							= 0
						for i in range(0  ,	a__):
									if finished_process[i] == 0 and arrival_time[i] <= current_time:
												a_						:						List[Any] 							= (burst_time[i] + (current_time - arrival_time[i])) / burst_time[
												    i
												]
									if response_ratio < temp:
												a_						:						int 							= temp
												a_						:						List[str] 							= i

        # Calculate the turn around time
						a_						:						int 							= current_time + burst_time[loc] - arrival_time[loc]
						current_time += burst_time[loc]
						# Indicates that the process has been performed.
						a_						:						Dict 							= 1
						# Increase finished_process_count by 1
						finished_process_count += 1

			return turn_around_time


def 					_UpperCAmelCase				(						a__  ,	a__  ,	a__  ,	a__):

			'''simple docstring'''



			a_						:						Tuple 							= [0] * no_of_process
			for i in range(0  ,	a__):
						a_						:						Optional[int] 							= turn_around_time[i] - burst_time[i]
			return waiting_time


if __name__ == "__main__":
	__snake_case				:      Union[str, Any]   		=			5
	__snake_case				:      Union[str, Any]   		=			["""A""", """B""", """C""", """D""", """E"""]
	__snake_case				:      int   		=			[1, 2, 3, 4, 5]
	__snake_case				:      Optional[int]   		=			[1, 2, 3, 4, 5]

	__snake_case				:      Tuple   		=			calculate_turn_around_time(
	    process_name, arrival_time, burst_time, no_of_process
	)
	__snake_case				:      str   		=			calculate_waiting_time(
	    process_name, turn_around_time, burst_time, no_of_process
	)

	print("""Process name \tArrival time \tBurst time \tTurn around time \tWaiting time""")
	for i in range(0, no_of_process):
		print(
		    F"""{process_name[i]}\t\t{arrival_time[i]}\t\t{burst_time[i]}\t\t"""
		    F"""{turn_around_time[i]}\t\t\t{waiting_time[i]}"""
		)

	print(F"""average waiting time : {mean(waiting_time):.5f}""")
	print(F"""average turn around time : {mean(turn_around_time):.5f}""")





from __future__ import annotations

# This is the precision for this function which can be altered.
# It is recommended for users to keep this number greater than or equal to 10.
__snake_case				:      Optional[Any]   		=			10


def 					_UpperCAmelCase				(						a__  ,	a__  ,	a__  ,	a__):

			'''simple docstring'''



			for i in range(a__  ,	a__):
						if array[i] == target:
									return i
			return -1


def 					_UpperCAmelCase				(						a__  ,	a__):

			'''simple docstring'''



			a_						:						Any 							= 0
			a_						:						List[str] 							= len(a__)
			while left <= right:
						if right - left < precision:
									return lin_search(a__  ,	a__  ,	a__  ,	a__)

						a_						:						Dict 							= (left + right) // 3 + 1
						a_						:						Optional[Any] 							= 2 * (left + right) // 3 + 1

						if array[one_third] == target:
									return one_third
						elif array[two_third] == target:
									return two_third

						elif target < array[one_third]:
									a_						:						int 							= one_third - 1
						elif array[two_third] < target:
									a_						:						Any 							= two_third + 1

						else:
									a_						:						Optional[int] 							= one_third + 1
									a_						:						int 							= two_third - 1
			else:
						return -1


def 					_UpperCAmelCase				(						a__  ,	a__  ,	a__  ,	a__):

			'''simple docstring'''



			if left < right:
						if right - left < precision:
									return lin_search(a__  ,	a__  ,	a__  ,	a__)
						a_						:						Optional[int] 							= (left + right) // 3 + 1
						a_						:						Union[str, Any] 							= 2 * (left + right) // 3 + 1

						if array[one_third] == target:
									return one_third
						elif array[two_third] == target:
									return two_third

						elif target < array[one_third]:
									return rec_ternary_search(a__  ,	one_third - 1  ,	a__  ,	a__)
						elif array[two_third] < target:
									return rec_ternary_search(two_third + 1  ,	a__  ,	a__  ,	a__)
						else:
									return rec_ternary_search(one_third + 1  ,	two_third - 1  ,	a__  ,	a__)
			else:
						return -1


if __name__ == "__main__":
	import doctest

	doctest.testmod()

	__snake_case				:      Optional[int]   		=			input("""Enter numbers separated by comma:\n""").strip()
	__snake_case				:      Optional[int]   		=			[int(item.strip()) for item in user_input.split(""",""")]
	assert collection == sorted(collection), F"List must be ordered.\n{collection}."
	__snake_case				:      int   		=			int(input("""Enter the number to be found in the list:\n""").strip())
	__snake_case				:      List[Any]   		=			ite_ternary_search(collection, target)
	__snake_case				:      Optional[int]   		=			rec_ternary_search(0, len(collection) - 1, collection, target)
	if resulta != -1:
		print(F"""Iterative search: {target} found at positions: {resulta}""")
		print(F"""Recursive search: {target} found at positions: {resulta}""")
	else:
		print("""Not found""")


